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Author Mardal, Kent-Andre, author.

Title Mathematical modeling of the human brain : from magnetic resonance images to finite element simulation / Kent-André Mardal, Marie E. Rognes, Travis B. Thompson, Lars Magnus Valnes.

Publication Info. Cham, Switzerland : Springer, 2022.

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Location Call No. Status
 University of Saint Joseph: Pope Pius XII Library - Internet  WORLD WIDE WEB E-BOOK Springer    Downloadable
Please click here to access this Springer resource
Description 1 online resource (xvi, 118 pages) : illustrations (some color).
Series Simula SpringerBriefs on computing, 2512-1685 ; volume 10
Simula SpringerBriefs on computing ; v. 10.
Contents Introduction -- Working with magnetic resonance images of the brain -- From T1 images to numerical simulation -- Introducing heterogeneities -- Introducing directionality with diffusion tensors -- Simulating anisotropic diffusion in heterogeneous brain regions -- Concluding remarks and outlook -- References -- Index.
Access Open access. GW5XE
Summary This open access book bridges common tools in medical imaging and neuroscience with the numerical solution of brain modelling PDEs. The connection between these areas is established through the use of two existing tools, FreeSurfer and FEniCS, and one novel tool, the SVM-Tk, developed for this book. The reader will learn the basics of magnetic resonance imaging and quickly proceed to generating their first FEniCS brain meshes from T1-weighted images. The book's presentation concludes with the reader solving a simplified PDE model of gadobutrol diffusion in the brain that incorporates diffusion tensor images, of various resolution, and complex, multi-domain, variable-resolution FEniCS meshes with detailed markings of anatomical brain regions. After completing this book, the reader will have a solid foundation for performing patient-specific finite element simulations of biomechanical models of the human brain.
Bibliography Includes bibliographical references and index.
Note Online resource; title from PDF title page (SpringerLink, viewed March 3, 2022).
Local Note Springer Nature Springer Nature Open Access eBooks
Subject Brain -- Magnetic resonance imaging -- Mathematical models.
Genre/Form Electronic books.
Added Author Rognes, Marie E., author.
Thompson, Travis B., author.
Valnes, Lars Magnus, author.
Other Form: Original 3030951359 9783030951351 (OCoLC)1289365363
ISBN 9783030951368 (electronic book)
3030951367 (electronic book)
9783030951351 (print)
3030951359
Standard No. 10.1007/978-3-030-95136-8 doi
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